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" Computational statistics : "
Günther Sawitzki
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BL
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| Record Number
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664699
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dltt
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| Main Entry
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Sawitzki, Günther
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| Title & Author
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Computational statistics : : an introduction to R /\ Günther Sawitzki
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| Publication Statement
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Boca Raton :: CRC Press,, c2009
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| Page. NO
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xiv, 251 p., [8] p. of plates :: ill. (some col.) ;; 25 cm
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| ISBN
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9781420086782 (hardcover : alk. paper)
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: 1420086782 (hardcover : alk. paper)
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| Notes
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"A Chapman & Hall book."
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| Bibliographies/Indexes
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Includes bibliographical references (p. 233-235) and indexes
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| Contents
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1 Basic data analysis -- R programming conventions -- Generation of random numbers and patterns -- Random numbers -- Patterns -- Case study: distribution diagnostics -- Distribution functions -- Histograms -- Barcharts -- Statistics of distribution functions; Kolmogorov-Smirnov tests -- Monte Carlo confidence bands -- Statistics of histograms and related plots; X2-tests -- Moments and quantiles -- R complements -- Random numbers -- Graphical comparisons -- Functions -- Enhancing graphical displays -- R internals -- parse -- eval -- print -- Executing files -- Packages -- Statistical summary -- Literature and additional references -- 2 Regression -- General regression model -- Linear model -- Factors -- Least squares estimation -- Regression diagnostics -- More examples for linear models -- Model formulae -- Gauss-Markov estimator and residuals -- Variance decomposition and analysis of variance -- Simultaneous inference -- Schef́fe's confidence bands -- Tukey's confidence intervals -- Case study: titre plates -- Beyond linear regression -- Transformations -- Generalised linear models -- Local regression -- R complements -- Discretisation -- External data -- Testing software -- R data types -- Classes and polymorphic functions -- Extractor functions -- Statistical summary -- Literature and additional references --
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3 Comparisons -- Shift/scale families, and stochastic order -- QQ plot, PP plot, and comparison of distributions -- Kolmogorov-Smirnov tests -- Tests for shift alternatives -- Road map -- Power and confidence -- Theoretical power and confidence -- Simulated power and confidence -- Quantile estimation -- Qualitative features of distributions -- Statistical summary -- Literature and additional references -- 4 Dimensions 1, 2, 3, ..., c -- R Complements -- Dimensions -- Selections -- Projections -- Marginal distributions and scatter plot matrices -- Projection pursuit -- Projections for dimensions 1, 2, 3, ... 7 -- Parallel coordinates -- Sections, conditional distributions and coplots -- Transformations and dimension reduction -- Higher dimensions -- Linear case -- Partial residuals and added variable plots -- Non-linear case -- Example: cusp non-linearity -- Case study: Melbourne temperature data -- Curse of dimensionality -- Case study: body fat -- High dimensions -- Statistical summary -- R as a programming language and environment -- Help and information -- Names and search paths -- Administration and customisation -- Basic data types -- Output for objects -- Object inspection -- System inspection -- Complex data types -- Accessing components -- Data manipulation -- Operators -- Functions -- Debugging and profiling -- Control structures -- Input and output to data streams; external data -- Libraries, packages -- Mathematical operators and functions; linear algebra -- Model descriptions -- Graphic functions -- High-level graphics -- Low-level graphics -- Annotations and legends -- Graphic parameters and Llyout -- Elementary statistical functions -- Distributions, random numbers, densities... -- Computing on the language
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| Subject
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R (Computer program language)
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| Subject
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Mathematical statistics-- Data processing
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| LC Classification
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QA276.45.R3S29 2009
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